I'm having a hard time understanding how I can form a LINQ query to do the following:
I have a table CallLogs and I want to get back a single result which represents the call that has the longest duration.
The row looks like this:
[ID] [RemoteParty] [Duration]
There can be multiple rows for the same RemoteParty, each which represents a call of a particular duration. I'm wanting to know which RemoteParty has the longest total duration.
Using LINQ, I got this far:
var callStats = (from c in database.CallLogs
group c by c.RemoteParty into d
select new
{
RemoteParty = d.Key,
TotalDuration = d.Sum(x => x.Duration)
});
So now I have a grouped result with the total duration for each RemoteParty but I need the maximum single result.
[DistinctRemoteParty1] [Duration]
[DistinctRemoteParty2] [Duration]
[DistinctRemotePartyN] [Duration]
How can I modify the query to achieve this?
Order the result and return the first one.
var callStats = (from c in database.CallLogs
group c by c.RemoteParty into d
select new
{
RemoteParty = d.Key,
TotalDuration = d.Sum(x => x.Duration)
});
callStats = callStats.OrderByDescending( a => a.TotalDuration )
.FirstOrDefault();
Have a look at the "Max" extension method from linq
callStats.Max(g=>g.TotalDuration);
Related
how can i convert rows to column in entity framework!?
i have a result like this:
and i want this result:
my entity code i this :
(from loanPerson in context.LoanPersons.AsParallel()
join warranter in context.Warranters.AsParallel() on loanPerson.Id equals warranter.LoanPersonId
where loanPerson.Id == 84829
select new
{
loanPersonId = loanPerson.Id,
waranterId = warranter.WarranterPersonID,
}).ToList();
and number of the row always less than 3 and i want to have 3 column.
please let me know your answer.
tanks.
This query will return the only one row, where waranterIds will contain, at this particular case, three WarranterPersonID values, also this field is of List<int> type, because it's quantity not known at compile time:
var answer = (from loanPerson in context.LoanPersons.Where(x => x.Id == 84829)
join warranter in context.Warranters
on loanPerson.Id equals warranter.LoanPersonId
group warranter by loanPerson.Id into sub
select new
{
loanPersonId = sub.Key,
waranterIds = sub.Select(x => x.LoanPersonId).ToList()
//if you sure, that quantity equals 3,
//you can write this code instead of waranterIds:
//zamen1 = sub.Select(x => x.LoanPersonId).First(),
//zamen2 = sub.Select(x => x.LoanPersonId).Skip(1).First(),
//zamen3 = sub.Select(x => x.LoanPersonId).Skip(2).First()
}).ToList();
I've been searching how to join two tables (Data and DataValues, one to many) and fill a dictionary of type .
The records of Data(s) might be thousands (e.g. 500,000 or more) and each Data may have 10 to 20 DataValues which makes it a much heavier query, so the performance is really important here.
here is the code I've write:
// Passed via the arguments, for example, sensorIDs would contain:
int[] sensorIDs = { 0, 1, 2, 3, 4, 5, 6, 17, 18 };
Dictionary<Data, List<DataValue>> dict = new Dictionary<Data, List<DataValue>>();
foreach (Data Data in dt.Datas)
{
var dValues = from d in dt.Datas
join dV in dt.DataValues on d.DataID equals dV.DataID
where (SensorIDs.Contains(dV.SensorID))
select dV;
dict.Add(Data, dValues.ToList<DataValue>());
}
But this approach has a significant performance issue and takes a long time to execute.
Not sure if I need to use SQL Views. any suggestions?
You're querying way too many times. You can do this in one query.
var dict = (from d in dt.Datas
join dV in dt.DataValues on d.DataID equals dv.DataID
where SensorIDs.Contains(dv.SensorID)
select new { d, dV }).ToDictionary(o => o.d, o => o.dV.ToList());
In your foreach loop, you are fetching all Data and for each of them, you are doing the same thing.
Edit: Now that wasn't very clear, but I think you want to join only the DataValues that are in the SensorIDs array. In this case:
var dict = (from d in dt.Datas
let dV = (from dataValue in dt.DataValues
where SensorIDs.Contains(dataValue.SensorID) &&
dataValue.DataID = d.DataID
select dataValue)
select new { d, dV }).ToDictionary(o => o.d, o => o.dV.ToList());
You do not need a foreach loop in this case, you can use group join to create the dictionary straight from linq which should give you better performance.
dict=(from DataValue d in dt.DataValues
where sensorIDs.Contains(d.SensorID)
group d by d.DataID
into datavalues
join data in dt.Datas
on datavalues.Key equals data.DataId
select new {
Key = data,
Value = datavalues
}).ToDictionary(a=>a.Key,a=>a.Value.ToList());
or you can use linq expression methods
dict = dt.DataValues.Where(d=>sensorIDs.Contains(d.SensorID))
.GroupBy(a=>a.DataID)
.Join(dt.Datas,a=>a.Key,a=>a.DataId,
(a,b)=>new{Key=b,Value=a.ToList()})
.ToDictionary(a=>a.Key,a=>a.Value);
You don't need foreach loop. Try something like this in general:
var columns = dt.Columns.Cast<DataColumn>();
dt.AsEnumerable().Select(dataRow => columns.Select(column =>
new { Column = column.ColumnName, Value = dataRow[column] })
.ToDictionary(data => data.Column, data => data.Value));
Also, consider reading this: http://blogs.teamb.com/craigstuntz/2010/01/13/38525/
I am trying to write dynamic Linq Library query to fetch record on condition,
Customers who has order count is greater than 3 and ShipVia field equal 2.
Below is my syntax what i have tried.
object[] objArr = new object[10];
objArr[0] = 1;
IQueryable<Customer> test = db.Customers.Where("Orders.Count(ShipVia=2)", objArr);
and
IQueryable<Customer> test = db.Customers.Where("Orders.Any(ShipVia=2).Count()", objArr);
But both are not working. In second query Any returns true so it won't work with Count.
Suggest me a way to implement this.
If you HAVE to use Dynamic Linq, your query should look like that:
db.Customers.Where("Orders.Count(ShipVia == 2) > 3");
How about something like this.
IQueryable<Customer> test = db.Customers.Where(c => c.Orders.Where(o => o.ShipVia ==2).Count() >2);
var grp = db.Customers.Where("ShipVia=2").GroupBy("ShipVia");
var test = from a in grp
where a.Count() > 3
select a.Key;
IQueryable<Customer> test =
from c in db.Customers
from o in c.Orders
where o.ShipVia == 2 // NOTE you need == not = for compare
group c by c into grp
select new {customer = grp.key, ordercount = grp.Count() };
Untested but I believe this should do it all in one statement, assuming Orders are a collection within Customer.
Note that your single = in your where clause is very dangerous as it'll assign 2 to all shipvias instead of test (==)
i have some problems with my c# code everywhere in the Examples they do it like me but somehow i gonna get some errors
Compiler says at g.Datum he doesn' t know Datum
and at "return query" he says - cannot convert, there is a explicit convert
var query = (from p in dataContext.Untersuchungen
orderby p.Datum
group p by p.Datum into g
let number = (from n in dataContext.Untersuchungen
where n.Datum == g.Datum
select n).Count()
select new StatsistikObjekt() { Date1 = g.Datum, number1 = number });
return query;
hope you can help me =)
The type of the range variable g is the group, which indeed doesn't have a Datum value.
You can fix that bit easily, given your grouping (which uses Datum as the key)- and make your query simpler too by just counting the size of the group:
var query = (from p in dataContext.Untersuchungen
orderby p.Datum
group p by p.Datum into g
select new StatsistikObjekt() { Date1 = g.Key,
number1 = g.Count() });
As for the return value - we can't really help you on that one, as we don't know the return type you're trying to return.
Try
g.Key instead of g.Datum
I am having a terrible time finding a solution to what I am sure is a simple problem.
I started an app with data in Lists of objects. It's pertinent objects used to look like this (very simplified):
class A {
int[] Nums;
}
and
List<A> myListOfA;
I wanted to count occurrences of values in the member array over all the List.
I found this solution somehow:
var results
from a in myListOfA
from n in a.Nums
group n by n into g
orderby g.Key
select new{ number = g.Key, Occurences = g.Count}
int NumberOfValues = results.Count();
That worked well and I was able to generate the histogram I wanted from the query.
Now I have converted to using an SQL database. The table I am using now looks like this:
MyTable {
int Value1;
int Value2;
int Value3;
int Value4;
int Value5;
int Value6;
}
I have a DataContext that maps to the DB.
I cannot figure out how to translate the previous LINQ statement to work with this. I have tried this:
MyDataContext myContext;
var results =
from d in myContext.MyTable
from n in new{ d.Value1, d.Value2, d.Value3, d.Value4, d.Value5, d.Value6 }
group n by n into g
orderby g.Key
select new { number = g.Key, Occurences = g.Count() };
I have tried some variations on the constructed array like adding .AsQueryable() at the end - something I saw somewhere else. I have tried using group to create the array of values but nothing works. I am a relative newbie when it come to database languages. I just cannot find any clue anywhere on the web. Maybe I am not asking the right question. Any help is appreciated.
I received help on a microsoft site. The problem is mixing LINQ to SQL with LINQ to Objects.
This is how the query should be stated:
var results =
from d in MyContext.MyTable.AsEnumerable()
from n in new[]{d.Value1, d.Value2, d.Value3, d.Value4, d.Value5, d.Value6}
group n by n into g
orderby g.Key
select new {number = g.Key, Occureneces = g.Count()};
Works like a charm.
If you wish to use LINQ to SQL, you could try this "hack" that I recently discovered. It isn't the prettiest most cleanest code, but at least you won't have to revert to using LINQ to Objects.
var query =
from d in MyContext.MyTable
let v1 = MyContext.MyTable.Where(dd => dd.ID == d.ID).Select(dd => dd.Value1)
let v2 = MyContext.MyTable.Where(dd => dd.ID == d.ID).Select(dd => dd.Value2)
// ...
let v6 = MyContext.MyTable.Where(dd => dd.ID == d.ID).Select(dd => dd.Value6)
from n in v1.Concat(v2).Concat(v3).Concat(v4).Concat(v5).Concat(v6)
group 1 by n into g
orderby g.Key
select new
{
number = g.Key,
Occureneces = g.Count(),
};
How about creating your int array on the fly?
var results =
from d in myContext.MyTable
from n in new int[] { d.Value1, d.Value2, d.Value3, d.Value4, d.Value5, d.Value6 }
group n by n into g
orderby g.Key
select new { number = g.Key, Occurences = g.Count() };
In a relational database, such as SQL Server, collections are represented as tables. So you should actually have two tables - Samples and Values. The Keys table would represent a single "A" object, while the Values table would represent each element in A.Nums, with a foreign key pointing to the one of the records in the Samples table. LINQ to SQL
's O/R mapper will then create a "Values" property for each Sample object, which contains a queryable collection of the attached Values. You would then use the following query:
var results =
from sample in myContext.Samples
from value in sample.Values
group value by value into values
orderby values.Key
select new { Value = values.Key, Frequency = values.Count() };